SF6Statsv0.20.20
Ken
Updated 1 week agoCrossPlatformCrossPlatformJapanJapanC100%

sohi_YT

Clickity-Stick Savant
Rank 36MR 1,580#99,496
Last 105–5-9Last 206–8-25
Winrate
43%
6W · 8L · 14 stored
Ranked matches
14
selected mode
Wins
6
Ranked
Losses
8
Ranked
Peak MR
1,599
Ken

Ranked MR · Ken

14 local · 0 imported · 14 on chart · 14 battles stored

Latest game

DefeatRanked

Replay not requested
Ken
sohi_YT · Ken
Luke
Opponent · Lukeまっちゃ
Open replay

Playstyle reference

Habits vs top — Ken

Loading Ken…

Saved match plans

Previously generated AI plans, with their original supporting stats and data dates. Expand a plan to read both perspectives.

Ken · Latest 100

What to improve

  1. Find the cause of punish events

    Punish Counters landed: profile 0.3 · reference 0.11

    Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

    Try this

    Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

    Supporting stats
    • Punish Counters landed: profile 0.3 · reference 0.11

  2. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · reference 0.18

    Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

    Try this

    Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

    Supporting stats
    • Drive Impact: profile 0.4 · reference 0.18
    • Drive Impact gauge: profile 6.2% · reference 1.3%

  3. Give each meter spend a purpose

    SA1: profile 48% · reference 26.5%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA1: profile 48% · reference 26.5%
    • SA2: profile 17% · reference 25%
    • SA3: profile 28% · reference 37.5%

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 5, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Char 253: 189 wins in 367 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs Char 253: 189 wins in 367 games
    • vs Juri: 38 wins in 65 games
    • vs Alex: 13 wins in 33 games

  2. Look for a repeatable punish opportunity

    Punish Counters landed: profile 0.3 · reference 0.11

    Use the stats as a scouting lead. Watch for an action you have already verified as punishable at that spacing; do not assume every apparent opening is unsafe.

    Try this

    Test one confirmed response when that action appears. If it stops appearing, return to your normal spacing instead of forcing the punish.

    Supporting stats
    • Punish Counters landed: profile 0.3 · reference 0.11

  3. Probe defense before committing

    Perfect Parry: profile 0.4 · reference 0.79

    Test one familiar pressure situation and observe the actual response. Use that observation to vary your next choice; do not infer a success rate from event counts.

    Try this

    Try your usual strike/throw decision in a situation you understand. Repeat only if the response is consistent; if they adapt, vary your timing or reset to neutral.

    Supporting stats
    • Perfect Parry: profile 0.4 · reference 0.79
    • Drive Parry: profile 2.2 · reference 1.97
    • Drive Reversal: profile 0.2 · reference 0.21

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 5, 2026 · AI: dots-studio/dots-3-note-preview:free

M. Bison · Latest 100

What to improve

  1. Make Drive Impact a deliberate choice

    Drive Impact: profile 0.4 · reference 0.18

    Review five Drive Impacts and record the situation and outcome. Keep effective uses; investigate repeated failures rather than aiming for the reference frequency.

    Try this

    Record Drive Impact and an ordinary attack in separate dummy slots. Mix playback and practice recognizing the difference with a response available in your current gauge state.

    Supporting stats
    • Drive Impact: profile 0.4 · reference 0.18

  2. Find the cause of punish events

    Punish Counters landed: profile 0.3 · reference 0.09

    Review five Punish Counters received and five landed. Separate whiffed attacks from unsafe actions on block before choosing what to practice.

    Try this

    Recreate one repeated situation in training. Check the spacing and frame meter, then practice a safer choice or a punish that actually connects.

    Supporting stats
    • Punish Counters landed: profile 0.3 · reference 0.09
    • Got Punish Countered: profile 0.3 · reference 0.07

  3. Give each meter spend a purpose

    SA1: profile 48% · reference 30.3%

    Review five resource decisions with the actual gauge visible. Note what the spend gained and what options remained; usage shares alone cannot measure efficiency.

    Try this

    Practice a familiar sequence with a resource spend and a conservation alternative. Compare the outcome and remaining gauge before deciding which situation calls for each.

    Supporting stats
    • SA1: profile 48% · reference 30.3%

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 5, 2026 · AI: dots-studio/dots-3-note-preview:free

How to beat this player

  1. Use matchup records as scouting leads

    vs Terry: 9 wins in 18 games

    A lower win rate suggests footage to examine, not a guaranteed counterpick. Check whether the same difficult situation appears in multiple matches.

    Try this

    If you play the cited character, test one familiar situation from that footage. If the player handles it well, abandon the assumption and adapt to what they show.

    Supporting stats
    • vs Terry: 9 wins in 18 games
    • vs Char 253: 331 wins in 646 games

AI selects and prioritizes reviewed practice plans from the cited stats. Habits cover the whole profile; character records and recent samples have separate scopes. These are ideas to test, not confirmed weaknesses or video analysis. Latest reported trends across the last 100 matches, not lifetime habit averages.

Data saved Sep 5, 2026 · AI: dots-studio/dots-3-note-preview:free

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